Oracle Machine Learning and Data Warehousing

Data warehousing supports machine learning by facilitating data cleansing and preparation, ensuring the data is suitable for solving specific problems.

Data can be mined whether it is stored in flat files, spreadsheets, database tables, or some other storage format. The important criteria for the data is not the storage format, but its applicability to the problem to be solved.

Proper data cleansing and preparation are very important for machine learning, and a data warehouse can facilitate these activities. However, a data warehouse is of no use if it does not contain the data you need to solve your problem.